diff --git a/docker/rocm/Dockerfile b/docker/rocm/Dockerfile index da4774dfd..7cac69eef 100644 --- a/docker/rocm/Dockerfile +++ b/docker/rocm/Dockerfile @@ -63,6 +63,7 @@ COPY --from=rocm /opt/rocm-dist/ / FROM deps-prelim AS rocm-prelim-hsa-override0 ENV HSA_ENABLE_SDMA=0 ENV MIGRAPHX_ENABLE_NHWC=1 +ENV TF_ROCM_USE_IMMEDIATE_MODE=1 COPY --from=rocm-dist / / diff --git a/docs/docs/configuration/cameras.md b/docs/docs/configuration/cameras.md index f1a6b7bf5..efc792635 100644 --- a/docs/docs/configuration/cameras.md +++ b/docs/docs/configuration/cameras.md @@ -98,7 +98,7 @@ This list of working and non-working PTZ cameras is based on user feedback. | Amcrest IP4M-S2112EW-AI | ✅ | ❌ | FOV relative movement not supported. | | Amcrest IP5M-1190EW | ✅ | ❌ | ONVIF Port: 80. FOV relative movement not supported. | | Ctronics PTZ | ✅ | ❌ | | -| Dahua | ✅ | ✅ | | +| Dahua | ✅ | ✅ | Some low-end Dahuas (lite series, among others) have been reported to not support autotracking | | Dahua DH-SD2A500HB | ✅ | ❌ | | | Foscam R5 | ✅ | ❌ | | | Hanwha XNP-6550RH | ✅ | ❌ | | diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md index 194a220d9..25330e2be 100644 --- a/docs/docs/configuration/face_recognition.md +++ b/docs/docs/configuration/face_recognition.md @@ -45,6 +45,8 @@ face_recognition: enabled: true ``` +Like the other real-time processors in Frigate, face recognition runs on the camera stream defined by the `detect` role in your config. To ensure optimal performance, select a suitable resolution for this stream in your camera's firmware that fits your specific scene and requirements. + ## Advanced Configuration Fine-tune face recognition with these optional parameters at the global level of your config. The only optional parameters that can be set at the camera level are `enabled` and `min_area`. diff --git a/docs/docs/configuration/hardware_acceleration_enrichments.md b/docs/docs/configuration/hardware_acceleration_enrichments.md index 6bd731bd2..1f894d345 100644 --- a/docs/docs/configuration/hardware_acceleration_enrichments.md +++ b/docs/docs/configuration/hardware_acceleration_enrichments.md @@ -23,7 +23,7 @@ Object detection and enrichments (like Semantic Search, Face Recognition, and Li - Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image. - Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image. -Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware for object detection. +Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments. :::note diff --git a/docs/docs/configuration/live.md b/docs/docs/configuration/live.md index 611922d84..d5f99ae98 100644 --- a/docs/docs/configuration/live.md +++ b/docs/docs/configuration/live.md @@ -189,7 +189,12 @@ Frigate provides a dialog in the Camera Group Edit pane with several options for :::note -The default dashboard ("All Cameras") will always use Smart Streaming and the first entry set in your `streams` configuration, if defined. Use a camera group if you want to change any of these settings from the defaults. +The default dashboard ("All Cameras") will always use: + +- Smart Streaming, unless you've disabled the global Automatic Live View in Settings. +- The first entry set in your `streams` configuration, if defined. + +Use a camera group if you want to change any of these settings from the defaults. ::: diff --git a/docs/docs/configuration/motion_detection.md b/docs/docs/configuration/motion_detection.md index ec6d7ca25..c22491fd0 100644 --- a/docs/docs/configuration/motion_detection.md +++ b/docs/docs/configuration/motion_detection.md @@ -104,4 +104,4 @@ Lightning threshold does not stop motion based recordings from being saved. ::: -Large changes in motion like PTZ moves and camera switches between Color and IR mode should result in no motion detection. This is done via the `lightning_threshold` configuration. It is defined as the percentage of the image used to detect lightning or other substantial changes where motion detection needs to recalibrate. Increasing this value will make motion detection more likely to consider lightning or IR mode changes as valid motion. Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching a doorbell camera. +Large changes in motion like PTZ moves and camera switches between Color and IR mode should result in a pause in object detection. This is done via the `lightning_threshold` configuration. It is defined as the percentage of the image used to detect lightning or other substantial changes where motion detection needs to recalibrate. Increasing this value will make motion detection more likely to consider lightning or IR mode changes as valid motion. Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching a doorbell camera. diff --git a/frigate/api/classification.py b/frigate/api/classification.py index 75ca13735..e33d81e81 100644 --- a/frigate/api/classification.py +++ b/frigate/api/classification.py @@ -154,7 +154,25 @@ def train_face(request: Request, name: str, body: dict = None): x2 = x1 + int(face_box[2] * detect_config.width) - 4 y2 = y1 + int(face_box[3] * detect_config.height) - 4 face = snapshot[y1:y2, x1:x2] - cv2.imwrite(os.path.join(new_file_folder, new_name), face) + success = True + + if face.size > 0: + try: + cv2.imwrite(os.path.join(new_file_folder, new_name), face) + success = True + except Exception: + pass + + if not success: + return JSONResponse( + content=( + { + "success": False, + "message": "Invalid face box or no face exists", + } + ), + status_code=404, + ) context: EmbeddingsContext = request.app.embeddings context.clear_face_classifier() diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py index 0aeb76792..494e28a5b 100644 --- a/frigate/data_processing/common/face/model.py +++ b/frigate/data_processing/common/face/model.py @@ -108,21 +108,21 @@ class FaceRecognizer(ABC): image, M, (output_width, output_height), flags=cv2.INTER_CUBIC ) - def get_blur_factor(self, input: np.ndarray) -> float: - """Calculates the factor for the confidence based on the blur of the image.""" + def get_blur_confidence_reduction(self, input: np.ndarray) -> tuple[float, float]: + """Calculates the reduction in confidence based on the blur of the image.""" if not self.config.face_recognition.blur_confidence_filter: return 1.0 variance = cv2.Laplacian(input, cv2.CV_64F).var() - if variance < 60: # image is very blurry - return 0.96 - elif variance < 70: # image moderately blurry - return 0.98 - elif variance < 80: # image is slightly blurry - return 0.99 + if variance < 80: # image is very blurry + return variance, 0.05 + elif variance < 100: # image moderately blurry + return variance, 0.03 + elif variance < 150: # image is slightly blurry + return variance, 0.01 else: - return 1.0 + return variance, 0.0 def similarity_to_confidence( @@ -234,8 +234,8 @@ class FaceNetRecognizer(FaceRecognizer): # face recognition is best run on grayscale images # get blur factor before aligning face - blur_factor = self.get_blur_factor(face_image) - logger.debug(f"face detected with blurriness {blur_factor}") + variance, blur_reduction = self.get_blur_confidence_reduction(face_image) + logger.debug(f"face detected with blurriness {variance}") # align face and run recognition img = self.align_face(face_image, face_image.shape[1], face_image.shape[0]) @@ -258,7 +258,7 @@ class FaceNetRecognizer(FaceRecognizer): score = confidence label = name - return label, round(score * blur_factor, 2) + return label, round(score - blur_reduction, 2) class ArcFaceRecognizer(FaceRecognizer): @@ -344,9 +344,9 @@ class ArcFaceRecognizer(FaceRecognizer): # face recognition is best run on grayscale images - # get blur factor before aligning face - blur_factor = self.get_blur_factor(face_image) - logger.debug(f"face detected with blurriness {blur_factor}") + # get blur reduction before aligning face + variance, blur_reduction = self.get_blur_confidence_reduction(face_image) + logger.debug(f"face detected with blurriness {variance}") # align face and run recognition img = self.align_face(face_image, face_image.shape[1], face_image.shape[0]) @@ -367,4 +367,4 @@ class ArcFaceRecognizer(FaceRecognizer): score = confidence label = name - return label, round(score * blur_factor, 2) + return label, round(score - blur_reduction, 2) diff --git a/frigate/util/model.py b/frigate/util/model.py index 7ac7d15b0..65f9b6032 100644 --- a/frigate/util/model.py +++ b/frigate/util/model.py @@ -345,6 +345,13 @@ def get_ort_providers( "device_type": device, } ) + elif provider == "MIGraphXExecutionProvider": + # MIGraphX uses more CPU than ROCM, while also being the same speed + if device == "MIGraphX": + providers.append(provider) + options.append({}) + else: + continue elif provider == "CPUExecutionProvider": providers.append(provider) options.append( diff --git a/web/src/components/menu/LiveContextMenu.tsx b/web/src/components/menu/LiveContextMenu.tsx index 09e65aa44..300bd2212 100644 --- a/web/src/components/menu/LiveContextMenu.tsx +++ b/web/src/components/menu/LiveContextMenu.tsx @@ -46,6 +46,7 @@ import { } from "@/api/ws"; import { useTranslation } from "react-i18next"; import { useDateLocale } from "@/hooks/use-date-locale"; +import { useIsAdmin } from "@/hooks/use-is-admin"; type LiveContextMenuProps = { className?: string; @@ -90,6 +91,10 @@ export default function LiveContextMenu({ const { t } = useTranslation("views/live"); const [showSettings, setShowSettings] = useState(false); + // roles + + const isAdmin = useIsAdmin(); + // camera enabled const { payload: enabledState, send: sendEnabled } = useEnabledState(camera); @@ -301,17 +306,21 @@ export default function LiveContextMenu({ )} - -
sendEnabled(isEnabled ? "OFF" : "ON")} - > -
- {isEnabled ? t("camera.disable") : t("camera.enable")} -
-
- - + {isAdmin && ( + <> + +
sendEnabled(isEnabled ? "OFF" : "ON")} + > +
+ {isEnabled ? t("camera.disable") : t("camera.enable")} +
+
+ + + + )}
search.end_time ?? Date.now() / 1000, [search]); - const source = `${baseUrl}vod/${search.camera}/start/${search.start_time}/end/${endTime}/index.m3u8`; + // subtract 2 seconds from start_time to account for keyframes and any differences in the record/detect streams + // to help the start of the event from not being completely cut off + const source = `${baseUrl}vod/${search.camera}/start/${search.start_time - 2}/end/${endTime}/index.m3u8`; return ( <> diff --git a/web/src/components/settings/ZoneEditPane.tsx b/web/src/components/settings/ZoneEditPane.tsx index 254f560e0..c73e1fe9c 100644 --- a/web/src/components/settings/ZoneEditPane.tsx +++ b/web/src/components/settings/ZoneEditPane.tsx @@ -708,8 +708,8 @@ export default function ZoneEditPane({ { unit: config?.ui.unit_system == "imperial" - ? t("feet", { ns: "common" }) - : t("meters", { ns: "common" }), + ? t("unit.length.feet", { ns: "common" }) + : t("unit.length.meters", { ns: "common" }), }, )} @@ -735,8 +735,8 @@ export default function ZoneEditPane({ { unit: config?.ui.unit_system == "imperial" - ? t("feet", { ns: "common" }) - : t("meters", { ns: "common" }), + ? t("unit.length.feet", { ns: "common" }) + : t("unit.length.meters", { ns: "common" }), }, )} @@ -762,8 +762,8 @@ export default function ZoneEditPane({ { unit: config?.ui.unit_system == "imperial" - ? t("feet", { ns: "common" }) - : t("meters", { ns: "common" }), + ? t("unit.length.feet", { ns: "common" }) + : t("unit.length.meters", { ns: "common" }), }, )} @@ -789,8 +789,8 @@ export default function ZoneEditPane({ { unit: config?.ui.unit_system == "imperial" - ? t("feet", { ns: "common" }) - : t("meters", { ns: "common" }), + ? t("unit.length.feet", { ns: "common" }) + : t("unit.length.meters", { ns: "common" }), }, )} diff --git a/web/src/views/live/DraggableGridLayout.tsx b/web/src/views/live/DraggableGridLayout.tsx index e6977ae39..ccd1b373b 100644 --- a/web/src/views/live/DraggableGridLayout.tsx +++ b/web/src/views/live/DraggableGridLayout.tsx @@ -563,9 +563,12 @@ export default function DraggableGridLayout({ const streamName = streamExists ? streamNameFromSettings : firstStreamEntry; + const streamType = + currentGroupStreamingSettings?.[camera.name]?.streamType; const autoLive = - currentGroupStreamingSettings?.[camera.name]?.streamType !== - "no-streaming"; + streamType !== undefined + ? streamType !== "no-streaming" + : undefined; const showStillWithoutActivity = currentGroupStreamingSettings?.[camera.name]?.streamType !== "continuous"; diff --git a/web/src/views/live/LiveDashboardView.tsx b/web/src/views/live/LiveDashboardView.tsx index b00b1a2f5..ddd6ccd51 100644 --- a/web/src/views/live/LiveDashboardView.tsx +++ b/web/src/views/live/LiveDashboardView.tsx @@ -486,9 +486,12 @@ export default function LiveDashboardView({ const streamName = streamExists ? streamNameFromSettings : firstStreamEntry; + const streamType = + currentGroupStreamingSettings?.[camera.name]?.streamType; const autoLive = - currentGroupStreamingSettings?.[camera.name]?.streamType !== - "no-streaming"; + streamType !== undefined + ? streamType !== "no-streaming" + : undefined; const showStillWithoutActivity = currentGroupStreamingSettings?.[camera.name]?.streamType !== "continuous"; diff --git a/web/src/views/recording/RecordingView.tsx b/web/src/views/recording/RecordingView.tsx index 534811007..18394f4e6 100644 --- a/web/src/views/recording/RecordingView.tsx +++ b/web/src/views/recording/RecordingView.tsx @@ -91,7 +91,7 @@ export function RecordingView({ "recordings/summary", { timezone: timezone, - cameras: allCameras ?? null, + cameras: allCameras.join(",") ?? null, }, ]);